Set1/COMPASS Repels Heterochromatin Invasion at Euchromatic Sites by Disrupting Suv39/Clr4 Activity and Nucleosome Stability

Total Page:16

File Type:pdf, Size:1020Kb

Set1/COMPASS Repels Heterochromatin Invasion at Euchromatic Sites by Disrupting Suv39/Clr4 Activity and Nucleosome Stability Downloaded from genesdev.cshlp.org on October 2, 2021 - Published by Cold Spring Harbor Laboratory Press Set1/COMPASS repels heterochromatin invasion at euchromatic sites by disrupting Suv39/Clr4 activity and nucleosome stability R.A. Greenstein,1,2 Ramon R. Barrales,3,4,5 Nicholas A. Sanchez,1,2 Jordan E. Bisanz,1 Sigurd Braun,3,4 and Bassem Al-Sady1 1Department of Microbiology and Immunology, George Williams Hooper Foundation, University of California at San Francisco, San Francisco, California 94143, USA; 2TETRAD Graduate Program, University of California at San Francisco, San Francisco, California 94143, USA; 3Department of Physiological Chemistry, Biomedical Center (BMC), Ludwig Maximilians University of Munich, 82152 Martinsried, Germany; 4International Max Planck Research School for Molecular and Cellular Life Sciences, 82152 Martinsried, Germany Protection of euchromatin from invasion by gene-repressive heterochromatin is critical for cellular health and viability. In addition to constitutive loci such as pericentromeres and subtelomeres, heterochromatin can be found interspersed in gene-rich euchromatin, where it regulates gene expression pertinent to cell fate. While heterochro- matin and euchromatin are globally poised for mutual antagonism, the mechanisms underlying precise spatial encoding of heterochromatin containment within euchromatic sites remain opaque. We investigated ectopic heterochromatin invasion by manipulating the fission yeast mating type locus boundary using a single-cell spreading reporter system. We found that heterochromatin repulsion is locally encoded by Set1/COMPASS on certain actively transcribed genes and that this protective role is most prominent at heterochromatin islands, small domains interspersed in euchromatin that regulate cell fate specifiers. Sensitivity to invasion by heterochromatin, surprisingly, is not dependent on Set1 altering overall gene expression levels. Rather, the gene-protective effect is strictly dependent on Set1’s catalytic activity. H3K4 methylation, the Set1 product, antagonizes spreading in two ways: directly inhibiting catalysis by Suv39/Clr4 and locally disrupting nucleosome stability. Taken together, these results describe a mechanism for spatial encoding of euchromatic signals that repel heterochromatin invasion. [Keywords: H3K4 methylation; Set1/COMPASS; facultative heterochromatin; gene orientation; heterochromatin spreading] Supplemental material is available for this article. Received May 8, 2019; revised version accepted October 30, 2019. Heterochromatin is a conserved nuclear ultrastructure and functional environments on each side and countering (Rea et al. 2000) that enacts genome partitioning by re- the intrinsic propensity for heterochromatin to invade pressing transcription and recombination at repetitive se- and silence genes. Major mechanisms of boundary forma- quences and structural elements, as well as genetic tion fall into three broad classes: (1) recruitment of factors information not pertaining to the specified cell fate. that directly antagonize the opposite state (for example, Once seeded at specific sequences (Hall et al. 2002; Jia by removal of state-specific signals on chromatin) (Ayoub et al. 2004; Reyes-Turcu et al. 2011), heterochromatin is et al. 2003; Schlichter and Cairns 2005; Lan et al. 2007; subsequently propagated in cis over qualitatively distinct Trewick et al. 2007; Braun et al. 2011), (2) promotion of regions of the chromosome in a process termed spreading. the original state by either depositing or protecting such Positional regulation of heterochromatin is key to deter- signals (Wang et al. 2013, 2015; Sadeghi et al. 2015; Verrier mining and remembering cell fate decisions. Boundary re- et al. 2015), or (3) structural constraint via recruitment of gions often separate adjacent heterochromatin and DNA-binding proteins that tether heterochromatin re- euchromatin domains, reinforcing the distinct signals gions to the nuclear periphery (Bell and Felsenfeld 1999; 5Present address: Centro Andaluz de Biología del Desarrollo, Universidad © 2020 Greenstein et al. This article is distributed exclusively by Cold Pablo de Olavide de Sevilla-Consejo Superior de Investigaciones Científi- Spring Harbor Laboratory Press for the first six months after the full-issue cas-Junta de Andalucía, Sevilla 41013, Spain. publication date (see http://genesdev.cshlp.org/site/misc/terms.xhtml). Corresponding author: [email protected] After six months, it is available under a Creative Commons License (Attri- Article published online ahead of print. Article and publication date are bution-NonCommercial 4.0 International), as described at http://creative- online at http://www.genesdev.org/cgi/doi/10.1101/gad.328468.119. commons.org/licenses/by-nc/4.0/. GENES & DEVELOPMENT 34:1–19 Published by Cold Spring Harbor Laboratory Press; ISSN 0890-9369/20; www.genesdev.org 1 Downloaded from genesdev.cshlp.org on October 2, 2021 - Published by Cold Spring Harbor Laboratory Press Greenstein et al. Kurukuti et al. 2006; Noma et al. 2006). Despite the varied the processes found in metazoans. Fission yeast form con- modalities used in boundary formation, containment is stitutive heterochromatin marked by H3K9me at centro- not absolute. This is evidenced by the observation that meres, telomeres, and the mating type (MAT) locus. boundaries can be overcome by modest dosage changes Boundary formation occurs at pericentromeric regions in heterochromatin factors (Noma et al. 2006; Ceol et al. and the MAT locus via at least two mechanisms: tether- 2011), which leads to the silencing of genes critical to nor- ing to the nuclear periphery through binding of TFIIIC pro- mal cellular function. teins to B-box element sequences in boundary regions In addition to constitutive heterochromatin found at (Noma et al. 2006) as well as specific enrichment of a centromeres, telomeres, and other repetitive sequences, JmjC domain-containing protein, Epe1 (Ayoub et al. repressed domains also form at additional genomic loca- 2003; Zofall and Grewal 2006; Trewick et al. 2007; Braun tions in response to developmental and environmental et al. 2011), which recruits additional downstream boun- signals (Wen et al. 2009; Zofall et al. 2012; Zhu et al. dary effectors. In addition to these constitutive sites, 2013). These facultative heterochromatin domains are facultative heterochromatin forms at developmentally often embedded in euchromatic regions and silence devel- regulated meiotic genes in regions surrounded by canoni- opmental genes in a lineage-specific manner (Wen et al. cal euchromatin, which are partially dependent on Epe1 2009). Resulting from response to changing stimuli, the for containment (Zofall et al. 2012; Wang et al. 2015). Us- final extent of facultative domains can change over ing the well-characterized MAT locus boundary as a mod- time, expanding to different degrees (Wen et al. 2009) el for euchromatic invasion, we found that active gene and even contracting (McDonald et al. 2011) in genomic units could repel spreading and that this function depends space, though how this is achieved is not well understood. on the H3K4 methylase complex Set1/COMPASS. Set1 is Facultative domain size may be tuned at the level of the the catalytic subunit of COMPASS and is responsible for heterochromatin spreading reaction (Hathaway et al. monomethylation, dimethylation, and trimethylation of 2012) and/or the activities promoting its containment or H3K4 in vivo. It is recruited by RNA polymerase and disassembly. While little is known about the former, sev- forms a characteristic pattern of H3K4 methylation states eral models, beyond those known to operate at constitu- over genes, with H3K4me3 near the transcription start tive boundaries (Guelen et al. 2008; Zofall et al. 2012), site (TSS) and H3K4me2 in the gene body (for review, could be invoked to explain the latter. see Shilatifard 2012). We show that rather than acting as How might euchromatin regulate heterochromatin a global antagonist of spreading, like Epe1 or the histone spreading at facultative sites or respond to its expansion acetyltransferase Mst2 (Wang et al. 2015), Set1 regulates beyond constitutive domains? One of the defining fea- spreading at gene-rich environments such as hetero- tures of euchromatin is the presence of active genes. It is chromatin islands. Set1 does not exert its euchromatin thought that transcription from active genes is incompat- protective function by modulating steady-state transcript ible with heterochromatin formation (Scott et al. 2006). levels. Rather, it acts via two separate mechanisms, both Multiple direct effects of transcription have been pro- dependent on its catalytic activity: (1) the disruption of posed to interfere with heterochromatin assembly. These nucleosome stability and (2) catalytic inhibition of the include nucleosome turnover (eviction) by transcribing sole fission yeast H3K9 methylase Suv39/Clr4, by the polymerase, formation of nucleosome-depleted regions Set1 product H3K4me. This study provides a mechanism at transcriptional units, or steric interference by trans- for the encoding of spatial cues within euchromatin that cription-associated complexes (Noma et al. 2006; Garcia contain heterochromatin expansion. et al. 2010; Aygün et al. 2013). Furthermore, we under- stand that unique molecular signatures characterize eu- chromatin and heterochromatin states and are critical to Results their formation. Heterochromatin is marked by methyla- Genes can function as a barrier
Recommended publications
  • Zebrafish Disease Models to Study the Pathogenesis of Inherited Manganese Transporter Defects and Provide A
    Zebrafish disease models to study the pathogenesis of inherited manganese transporter defects and provide a route for drug discovery Dr Karin Tuschl University College London PhD Supervisors: Dr Philippa Mills & Prof Stephen Wilson A thesis submitted for the degree of Doctor of Philosophy University College London August 2016 Declaration I, Karin Tuschl, confirm that the work presented in this thesis is my own. Where information has been derived from other sources, I confirm that this has been indicated in the thesis. Part of the work of this thesis has been published in the following articles for which copyright clearance has been obtained (see Appendix): - Tuschl K, et al. Manganese and the brain. Int Rev Neurobiol. 2013. 110:277- 312. - Tuschl K, et al. Mutations in SLC39A14 disrupt manganese homeostasis and cause childhood-onset parkinsonism-dystonia. Nat Comms. 2016. 7:11601. I confirm that these publications were written by me and may therefore partly overlap with my thesis. 2 Abstract Although manganese is required as an essential trace element excessive amounts are neurotoxic and lead to manganism, an extrapyramidal movement disorder associated with deposition of manganese in the basal ganglia. Recently, we have identified the first inborn error of manganese metabolism caused by mutations in SLC30A10, encoding a manganese transporter facilitating biliary manganese excretion. Treatment is limited to chelation therapy with intravenous disodium calcium edetate which is burdensome due to its route of administration and associated with high socioeconomic costs. Whole exome sequencing in patients with inherited hypermanganesaemia and early- onset parkinsonism-dystonia but absent SLC30A10 mutations identified SLC39A14 as a novel disease gene associated with manganese dyshomeostasis.
    [Show full text]
  • Glycomics Goes Visual and Interactive
    Glycomics & Lipidomics Extended Abstract Glycomics goes visual and interactive Alessandra Gastaldello structures attached to each of these sites. Mass spectrometry Abstract (MS) and microarray are high-throughput technologies that are commonly used in glycomics and glycoproteomics, which often result in the generation of large experimental datasets. Glycomics@ExPASy the glycomics tab of the Swiss Institute of Bioinformatics approaches play an essential role in automated Bioinformatics server (www.expasy.org/glycomics) was created analysis and interpretation of such data. This unit describes in 2016 to centralise web-based glycoinformatics resources and discusses the computational tools currently available for developed within an international network of glycoscientists. these analyses, and their glycomics and glycoproteomics The philosophy of this toolbox is to be {glycoscientist AND applications. protein scientist}???friendly with the aim of popularising (a) the use of bioinformatics in glycobiology and (b) the relation A key point in achieving accurate intact glycopeptide between glycobiology and protein-oriented bioinformatics identification is the definition of the glycan composition file resources. The scarcity of bridging data led us to design tools that is used to match experimental with theoretical masses by a as interactive as possible based on database connectivity in glycoproteomics search engine. At present, these files are order to facilitate data exploration and support hypothesis mainly built from searching the literature and/or querying building. The current set of resources is mostly built on top of data sources focused on posttranslational modifications. Most curated or experimental data relative to glycan structures, glycoproteomics search engines include a default composition glycoproteins, host-pathogen interactions and mass file that is readily used when processing MS data.
    [Show full text]
  • The ELIXIR Core Data Resources: ​Fundamental Infrastructure for The
    Supplementary Data: The ELIXIR Core Data Resources: fundamental infrastructure ​ for the life sciences The “Supporting Material” referred to within this Supplementary Data can be found in the Supporting.Material.CDR.infrastructure file, DOI: 10.5281/zenodo.2625247 (https://zenodo.org/record/2625247). ​ ​ Figure 1. Scale of the Core Data Resources Table S1. Data from which Figure 1 is derived: Year 2013 2014 2015 2016 2017 Data entries 765881651 997794559 1726529931 1853429002 2715599247 Monthly user/IP addresses 1700660 2109586 2413724 2502617 2867265 FTEs 270 292.65 295.65 289.7 311.2 Figure 1 includes data from the following Core Data Resources: ArrayExpress, BRENDA, CATH, ChEBI, ChEMBL, EGA, ENA, Ensembl, Ensembl Genomes, EuropePMC, HPA, IntAct /MINT , InterPro, PDBe, PRIDE, SILVA, STRING, UniProt ● Note that Ensembl’s compute infrastructure physically relocated in 2016, so “Users/IP address” data are not available for that year. In this case, the 2015 numbers were rolled forward to 2016. ● Note that STRING makes only minor releases in 2014 and 2016, in that the interactions are re-computed, but the number of “Data entries” remains unchanged. The major releases that change the number of “Data entries” happened in 2013 and 2015. So, for “Data entries” , the number for 2013 was rolled forward to 2014, and the number for 2015 was rolled forward to 2016. The ELIXIR Core Data Resources: fundamental infrastructure for the life sciences ​ 1 Figure 2: Usage of Core Data Resources in research The following steps were taken: 1. API calls were run on open access full text articles in Europe PMC to identify articles that ​ ​ mention Core Data Resource by name or include specific data record accession numbers.
    [Show full text]
  • Combinatorial Genetic Control of Rpd3s Through Histone H3K4 and H3K36 Methylation
    bioRxiv preprint doi: https://doi.org/10.1101/376046; this version posted July 24, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Combinatorial Genetic Control of Rpd3S through histone H3K4 and H3K36 Methylation 2 in Budding Yeast 3 4 Kwan Yin Lee*, Mathieu Ranger*, and Marc D. Meneghini* 5 *Department of Molecular Genetics, University of Toronto, ON, M5S 1A8, Canada 6 Running title: Rpd3S control by H3K4me and H3K36me 7 Keywords: Rpd3S; histone methylation; SET1; JHD2; RPH1; SET2 8 Corresponding author mailing addresses: 9 Marc Meneghini 10 Dept. of Molecular Genetics University of Toronto 11 MaRS2 1532 12 661 University Avenue 13 Toronto, ON M5G 1M1 14 Office: 416-978-7578 15 Fax: 416-978-6885 16 email: [email protected] 17 18 19 1 bioRxiv preprint doi: https://doi.org/10.1101/376046; this version posted July 24, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Abstract 2 Much of euchromatin regulation occurs through reversible methylation of histone H3 3 lysine-4 and lysine-36 (H3K4me and H3K36me). Using the budding yeast Saccharomyces 4 cerevisiae, we previously found that levels of H3K4me modulated temperature sensitive alleles 5 of the transcriptional elongation complex Spt6-Spn1 through an unknown H3K4me effector 6 pathway. Here we identify the Rpd3S histone deacetylase complex as the H3K4me effector 7 underlying these Spt6-Spn1 genetic interactions.
    [Show full text]
  • Recognition of Cancer Mutations in Histone H3K36 by Epigenetic Writers and Readers Brianna J
    EPIGENETICS https://doi.org/10.1080/15592294.2018.1503491 REVIEW Recognition of cancer mutations in histone H3K36 by epigenetic writers and readers Brianna J. Kleina, Krzysztof Krajewski b, Susana Restrepoa, Peter W. Lewis c, Brian D. Strahlb, and Tatiana G. Kutateladzea aDepartment of Pharmacology, University of Colorado School of Medicine, Aurora, CO, USA; bDepartment of Biochemistry & Biophysics, The University of North Carolina School of Medicine, Chapel Hill, NC, USA; cWisconsin Institute for Discovery, University of Wisconsin, Madison, WI, USA ABSTRACT ARTICLE HISTORY Histone posttranslational modifications control the organization and function of chromatin. In Received 30 May 2018 particular, methylation of lysine 36 in histone H3 (H3K36me) has been shown to mediate gene Revised 1 July 2018 transcription, DNA repair, cell cycle regulation, and pre-mRNA splicing. Notably, mutations at or Accepted 12 July 2018 near this residue have been causally linked to the development of several human cancers. These KEYWORDS observations have helped to illuminate the role of histones themselves in disease and to clarify Histone; H3K36M; cancer; the mechanisms by which they acquire oncogenic properties. This perspective focuses on recent PTM; methylation advances in discovery and characterization of histone H3 mutations that impact H3K36 methyla- tion. We also highlight findings that the common cancer-related substitution of H3K36 to methionine (H3K36M) disturbs functions of not only H3K36me-writing enzymes but also H3K36me-specific readers. The latter case suggests that the oncogenic effects could also be linked to the inability of readers to engage H3K36M. Introduction from yeast to humans and has been shown to have a variety of functions that range from the control Histone proteins are main components of the of gene transcription and DNA repair, to cell cycle nucleosome, the fundamental building block of regulation and nutrient stress response [8].
    [Show full text]
  • Automethylation of PRC2 Promotes H3K27 Methylation and Is Impaired in H3K27M Pediatric Glioma
    Downloaded from genesdev.cshlp.org on October 5, 2021 - Published by Cold Spring Harbor Laboratory Press Automethylation of PRC2 promotes H3K27 methylation and is impaired in H3K27M pediatric glioma Chul-Hwan Lee,1,2,7 Jia-Ray Yu,1,2,7 Jeffrey Granat,1,2,7 Ricardo Saldaña-Meyer,1,2 Joshua Andrade,3 Gary LeRoy,1,2 Ying Jin,4 Peder Lund,5 James M. Stafford,1,2,6 Benjamin A. Garcia,5 Beatrix Ueberheide,3 and Danny Reinberg1,2 1Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, New York 10016, USA; 2Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA; 3Proteomics Laboratory, New York University School of Medicine, New York, New York 10016, USA; 4Shared Bioinformatics Core, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA; 5Department of Biochemistry and Molecular Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA The histone methyltransferase activity of PRC2 is central to the formation of H3K27me3-decorated facultative heterochromatin and gene silencing. In addition, PRC2 has been shown to automethylate its core subunits, EZH1/ EZH2 and SUZ12. Here, we identify the lysine residues at which EZH1/EZH2 are automethylated with EZH2-K510 and EZH2-K514 being the major such sites in vivo. Automethylated EZH2/PRC2 exhibits a higher level of histone methyltransferase activity and is required for attaining proper cellular levels of H3K27me3. While occurring inde- pendently of PRC2 recruitment to chromatin, automethylation promotes PRC2 accessibility to the histone H3 tail. Intriguingly, EZH2 automethylation is significantly reduced in diffuse intrinsic pontine glioma (DIPG) cells that carry a lysine-to-methionine substitution in histone H3 (H3K27M), but not in cells that carry either EZH2 or EED mutants that abrogate PRC2 allosteric activation, indicating that H3K27M impairs the intrinsic activity of PRC2.
    [Show full text]
  • Pathogenicity and Selective Constraint on Variation Near Splice Sites
    Downloaded from genome.cshlp.org on September 27, 2021 - Published by Cold Spring Harbor Laboratory Press 1 Pathogenicity and selective constraint on variation near 2 splice sites 3 AUTHORS 4 Jenny Lord1, Giuseppe Gallone1, Patrick J. Short1, Jeremy F. McRae1, Holly Ironfield1, Elizabeth H. 5 Wynn1, Sebastian S. Gerety1, Liu He1, Bronwyn Kerr2,3, Diana S. Johnson4, Emma McCann5, Esther 6 Kinning6, Frances Flinter7, I. Karen Temple8,9 , Jill Clayton-Smith2,3, Meriel McEntagart10, Sally Ann 7 Lynch11, Shelagh Joss12, Sofia Douzgou2,3, Tabib Dabir13, Virginia Clowes14, Vivienne P. M. 8 McConnell13, Wayne Lam15, Caroline F. Wright16, David R. FitzPatrick1,15, Helen V. Firth1,17, Jeffrey 9 C. Barrett1, Matthew E. Hurles1, on behalf of the Deciphering Developmental Disorders study 10 AFFILIATIONS 11 1 Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK 12 2Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester University Hospitals NHS 13 Foundation Trust Manchester Academic Health Sciences Centre 14 3Division of Evolution and Genomic Sciences School of Biological Sciences University of Manchester 15 4Sheffield Clinical Genetics Service, Sheffield Children's Hospital, OPD2, Northern General Hospital, 16 Herries Road, Sheffield, S5 7AU 17 5Liverpool Women’s Hospital Foundation Trust, Crown Street, Liverpool, L8 7SS 18 6West of Scotland Regional Genetics Service, NHS Greater Glasgow and Clyde, Institute of Medical 19 Genetics, Yorkhill Hospital, Glasgow G3 8SJ, UK 20 7South East Thames Regional Genetics
    [Show full text]
  • Viroinformatics Investigation of B-Cell Epitope Conserved Region in SARS
    © 2021 Journal of Pharmacy & Pharmacognosy Research, 9 (6), 766-779, 2021 ISSN 0719-4250 http://jppres.com/jppres Original Article Viroinformatics investigation of B-cell epitope conserved region in SARS- CoV-2 lineage B.1.1.7 isolates originated from Indonesia to develop vaccine candidate against COVID-19 [Investigación viroinformática de la región conservada del epítopo de células B en el linaje SARS-CoV-2 B.1.1.7 aislamientos originados en Indonesia para desarrollar una vacuna candidata contra COVID-19] Arif N. M. Ansori1,2#, Reviany V. Nidom1,3*#, Muhammad K. J. Kusala1,2, Setyarina Indrasari1,3, Irine Normalina1,4, Astria N. Nidom1,3, Balqis Afifah1,3, Kartika B. Sari1,5, Nor L. Ramadhaniyah1,5, Mohammad Y. Alamudi1,3, Umi Cahyaningsih6, Kuncoro P. Santoso1,2, Heri Kuswanto5, Chairul A. Nidom1,2,3* 1Coronavirus and Vaccine Formulation Research Group, Professor Nidom Foundation, Surabaya, Indonesia. 2Faculty of Veterinary Medicine, Universitas Airlangga, Surabaya, Indonesia. 3Riset AIRC Indonesia, Surabaya, Indonesia. 4Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia. 5Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia. 6Faculty of Veterinary Medicine, IPB University, Bogor, Indonesia. #Both authors contributed equally. *E-mail: [email protected], [email protected], [email protected] Abstract Resumen Context: SARS-CoV-2, a member of family Coronaviridae and the Contexto: SARS-CoV-2, un miembro de la familia Coronaviridae y el causative agent of COVID-19,
    [Show full text]
  • Bioinformatics Exercises: Bovine Lactate Dehydrogenase (LDH)
    CH/BI 421/621/527 F15 Bioinformatics Worksheet for LDH Bioinformatics Exercises: Bovine Lactate Dehydrogenase (LDH) BACKGROUND: Often primary structure (amino acid sequence) is the first piece of experimental information a biochemist wants to have about a protein s/he is interested in studying since it can be used to make several predictions about the properties and possible behavior of the protein such as: • Protein molecular weight by adding up the masses of the individual amino acid residues. • Isoelectric point. The isoelectric point is where the protein has no charge. Because of ionizable functional groups on amino acids, protein charge changes as a function of pH depending on whether or not these groups are protonated. By knowing the sequence, we know how many of each ionizable group our protein contains. If we know the pH range where these groups become protonated or deprotonated, we can estimate the charge of the whole protein as a function of pH. This will be discussed in more detail below. • Molar extinction coefficient. Tryptophan, Tyrosine and Cysteine residues absorb ultraviolet light at 280 nm. By knowing how many of these amino acids are found in our protein’s sequence, we can calculate how much we expect a solution of our protein to absorb 280 nm light as a function of its concentration. I say “expect” instead of “determine” because the amount of light absorbed by these amino acids is dependent on their local environment within the protein especially on whether they are on the surface and exposed to the solution or buried inside the protein.
    [Show full text]
  • Screening for Genes That Accelerate the Epigenetic Aging Clock in Humans Reveals a Role for the H3K36 Methyltransferase NSD1 Daniel E
    Martin-Herranz et al. Genome Biology (2019) 20:146 https://doi.org/10.1186/s13059-019-1753-9 RESEARCH Open Access Screening for genes that accelerate the epigenetic aging clock in humans reveals a role for the H3K36 methyltransferase NSD1 Daniel E. Martin-Herranz1,2* , Erfan Aref-Eshghi3,4, Marc Jan Bonder1,5, Thomas M. Stubbs2, Sanaa Choufani6, Rosanna Weksberg6, Oliver Stegle1,5,7, Bekim Sadikovic3,4, Wolf Reik8,9,10*† and Janet M. Thornton1*† Abstract Background: Epigenetic clocks are mathematical models that predict the biological age of an individual using DNA methylation data and have emerged in the last few years as the most accurate biomarkers of the aging process. However, little is known about the molecular mechanisms that control the rate of such clocks. Here, we have examined the human epigenetic clock in patients with a variety of developmental disorders, harboring mutations in proteins of the epigenetic machinery. Results: Using the Horvath epigenetic clock, we perform an unbiased screen for epigenetic age acceleration in the blood of these patients. We demonstrate that loss-of-function mutations in the H3K36 histone methyltransferase NSD1, which cause Sotos syndrome, substantially accelerate epigenetic aging. Furthermore, we show that the normal aging process and Sotos syndrome share methylation changes and the genomic context in which they occur. Finally, we found that the Horvath clock CpG sites are characterized by a higher Shannon methylation entropy when compared with the rest of the genome, which is dramatically decreased in Sotos syndrome patients. Conclusions: These results suggest that the H3K36 methylation machinery is a key component of the epigenetic maintenance system in humans, which controls the rate of epigenetic aging, and this role seems to be conserved in model organisms.
    [Show full text]
  • Biocuration Experts on the Impact of Duplication and Other Data Quality Issues in Biological Databases
    Genomics Proteomics Bioinformatics 18 (2020) 91–103 Genomics Proteomics Bioinformatics www.elsevier.com/locate/gpb www.sciencedirect.com PERSPECTIVE Quality Matters: Biocuration Experts on the Impact of Duplication and Other Data Quality Issues in Biological Databases Qingyu Chen 1,*, Ramona Britto 2, Ivan Erill 3, Constance J. Jeffery 4, Arthur Liberzon 5, Michele Magrane 2, Jun-ichi Onami 6,7, Marc Robinson-Rechavi 8,9, Jana Sponarova 10, Justin Zobel 1,*, Karin Verspoor 1,* 1 School of Computing and Information Systems, University of Melbourne, Melbourne, VIC 3010, Australia 2 European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Cambridge CB10 1SD, UK 3 Department of Biological Sciences, University of Maryland, Baltimore, MD 21250, USA 4 Department of Biological Sciences, University of Illinois at Chicago, Chicago, IL 60607, USA 5 Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA 6 Japan Science and Technology Agency, National Bioscience Database Center, Tokyo 102-8666, Japan 7 National Institute of Health Sciences, Tokyo 158-8501, Japan 8 Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland 9 Department of Ecology and Evolution, University of Lausanne, CH-1015 Lausanne, Switzerland 10 Nebion AG, 8048 Zurich, Switzerland Received 8 December 2017; revised 24 October 2018; accepted 14 December 2018 Available online 9 July 2020 Handled by Zhang Zhang Introduction assembled, annotated, and ultimately submitted to primary nucleotide databases such as GenBank [2], European Nucleo- tide Archive (ENA) [3], and DNA Data Bank of Japan Biological databases represent an extraordinary collective vol- (DDBJ) [4] (collectively known as the International Nucleotide ume of work.
    [Show full text]
  • Plant Protein Annotation in the Uniprot Knowledgebase
    Article Plant protein annotation in the UniProt Knowledgebase SCHNEIDER, Michel, et al. Abstract The Swiss-Prot, TrEMBL, Protein Information Resource (PIR), and DNA Data Bank of Japan (DDBJ) protein database activities have united to form the Universal Protein Resource (UniProt) Consortium. UniProt presents three database layers: the UniProt Archive, the UniProt Knowledgebase (UniProtKB), and the UniProt Reference Clusters. The UniProtKB consists of two sections: UniProtKB/Swiss-Prot (fully manually curated entries) and UniProtKB/TrEMBL (automated annotation, classification and extensive cross-references). New releases are published fortnightly. A specific Plant Proteome Annotation Program (http://www.expasy.org/sprot/ppap/) was initiated to cope with the increasing amount of data produced by the complete sequencing of plant genomes. Through UniProt, our aim is to provide the scientific community with a single, centralized, authoritative resource for protein sequences and functional information that will allow the plant community to fully explore and utilize the wealth of information available for both plant and non-plant model organisms. Reference SCHNEIDER, Michel, et al. Plant protein annotation in the UniProt Knowledgebase. Plant Physiology, 2005, vol. 138, no. 1, p. 59-66 DOI : 10.1104/pp.104.058933 PMID : 15888679 Available at: http://archive-ouverte.unige.ch/unige:38249 Disclaimer: layout of this document may differ from the published version. 1 / 1 Bioinformatics Plant Protein Annotation in the UniProt Knowledgebase1 Michel Schneider*,
    [Show full text]